ECG Waveform Classification Based on P-QRS-T Wave Recognition

Abstract

A B S T R A C TElectrocardiogram (ECG) is a periodic signal reflects the activity of the heart. ECG waveform is an important issue to define the heart function, so it is helpful to recognize the type of heart diseases. ECG graph generates a lot of information that is converted into an electrical signal with standard values of amplitude and duration. The main problem raised in this measurement is the mixing between normal and abnormal, in addition, sometimes, there are overlapping between the P-QRS-T waveform. This research aims to offer an efficient approach to measure all parts of P-QRS-T waveform in order to give a correct decision of heart functionality. The implemented approach including many steps as follows: Preprocessing, baseline process, feature extraction, and diagnosis. The obtained result indicated an adequate recognition rate to verify the heart functionality. The proposed approach depends mainly on the classifier process that based mainly on the extracted ECG waveform features that achieved from exact baseline detection.

Deconstructing Commercial Wearable Technology: Contributions toward Accurate and Free-Living Monitoring of Sleep

“…ECG measures the electrical activity of the heart using electrodes that are placed on the surface of the skin [ 33 ]. ECG devices use the conductance generated by the cardiovascular system to produce the PQRST waveform characteristic of depolarization and repolarization of the various heart chambers; from this wave, beat to beat heart rate and heart rate variability (HRV) related metrics can be derived using the inter-beat-interval (IBI) [ 34 , 35 ]. IBI data represent the time interval (in milliseconds) between two successive R peaks.…”

“…Cardiac behavior is often evaluated using one of two methods: directly through electrical waveforms from ECG, or indirectly through the pulse pressure waveform (PPW) from PPG. ECG waveforms are composed of PQRST waves that are indicative of electrical stimulation for the opening and closing of chambers and valves within the heart [ 34 , 35 ]. When collected using a single lead from a distal location, such as the wrist, the most notable depiction is of the R peaks, which can be seen in Figure 3 .…”

ECG Signal Recognition Based on Lookup Table and Neural Networks

“…The purpose of this research is to provide an effective approach to measure all parts of the P-QRS-T waveform to give the right decision for heart function. The proposed approach depends on the classifier operation that based mainly on the features extracted from electrocardiograph waveform that achieved from exact baseline detection [46].…”

A Review Study for Electrocardiogram Signal Classification

“…An electrocardiogram (ECG) is simply a recording of the electrical activity generated by the heart [1]. The heart produces the electrical activity that measures by a medical test called an ECG, which identifies the cardiac abnormality [2]. A heart produces tiny electrical impulses that spread through the heart muscle [3].…”